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4+ years building scalable ELT pipelines, dimensional data models, and BI solutions on Snowflake, Azure, AWS, and GCP — turning raw, multi-source data into stakeholder-ready assets.
Analytics Engineer and Data Engineer with 4+ years of experience building scalable data pipelines, dimensional data models, and BI solutions across cloud-native platforms.
Currently at Data2Bots, I design layered ELT architectures — staging, intermediate, and mart layers — on Azure, AWS, and GCP, aligned with dbt best practices and powering downstream dashboards and executive reporting.
I have a strong bias toward data quality, documentation, and models that people actually trust. I bridge raw systems and business decision-making — and I care deeply about the last mile between a pipeline and an insight.
Full pipeline: real-time ingestion, OneLake storage, Synapse transformations, Power BI reporting, and automated Teams alerts via Data Activator.
View Case Study → Watch on YouTube ↗24-hour AWS challenge: real-time streaming with IoT Core, Kinesis, Lambda, and Timestream. Terraform IaC and cost-optimized architecture.
View Case Study →Config-driven Python ETL: extract from Excel, transform (dates, rounding), log the pipeline, load into PostgreSQL.
View Case Study →End-to-end ETL extracting, transforming, and loading wealth data into SQLite with ipython-sql for in-notebook querying.
View Case Study →Full BI build on the classic Northwind dataset — relational data model, time intelligence DAX, and a Figma-prototyped executive dashboard.
View Case Study →Star schema data model, DAX measures (YTD, MoM growth, running totals), and executive-ready Power BI dashboard.
View Case Study →GitHub repo of SQL across PostgreSQL and MSSQL — cleaning, aggregations, CTEs, window functions, and data quality checks.
View Case Study →Power BI dashboard tracking chocolate sales by product, region, and salesperson with period-over-period DAX comparisons.
View Case Study →Analyzed raw restaurant data across all 50 U.S. states. SQL + Excel for cleaning, Tableau for an interactive geographic dashboard.
View Case Study →Cleaned and visualized 10 years of African malaria data. Tableau choropleth maps, trend analysis, and a full PDF report.
View Case Study →500+ visuals across healthcare, football, entertainment, and global issues — with a focus on African data stories.
View Case Study →Collection of Tableau dashboards covering hospital performance, malaria incidence, and healthcare resource allocation — prototyped in Figma.
View Case Study →Data2Bots — Abuja, Nigeria
Designing and implementing scalable ELT pipelines on Azure, AWS, and Google Cloud, transforming multi-source structured, semi-structured, and unstructured datasets into analytics-ready layers. Building layered data models (staging → intermediate → mart) aligned with dbt best practices, powering downstream BI dashboards and executive reporting. Leading data quality initiatives including validation frameworks, transformation audits, and standardisation processes across Snowflake-style cloud warehouses.
Havosoft
Designed and maintained ETL pipelines integrating data from diverse sources, enforcing quality standards for analytics-ready datasets. Built interactive dashboards and performance reports in Power BI and Tableau, delivering real-time insights for executive decision-making. Modelled and analysed large, complex datasets to drive strategic initiatives; partnered with developers, product managers, and executives to align data models with business needs.
Poshem Technologies
Taught beginner-to-intermediate SQL and data modelling to a pan-African audience, covering real-world transformation, BI reporting, and analytics best practices. Developed structured course materials emphasising practical data pipeline design and analytical thinking.
Abuja Data School
Delivered training on Python, SQL, R, and Power BI with emphasis on data cleaning, transformation, and dashboard development. Guided learners through end-to-end data pipeline projects and introduced cloud environments and scalable analytics tooling.
Mustard Insights
Extracted, cleaned, and modelled large datasets using SQL and Python. Built automated dashboards in Power BI and Tableau to communicate business insights. Conducted market research and predictive modelling to support strategic decisions across economic, corporate, investment, and health sectors.
National Agency for the Control of AIDS (NACA)
Supported data collection, cleaning, and visualisation for public health programs. Developed dashboards to track HIV campaign performance and participated in prevention programming and conferences.
Landmark University, Kwara State
Open to data engineering roles, analytics engineering positions, and interesting collaborations. Let's talk.